Artificial Intelligence
As AI systems become more capable and more embedded in decision-making, the question of who is accountable—and for what—has moved from academic debate to operational urgency.
The software stacks running the world's largest companies increasingly depend on projects maintained by volunteers and nonprofit foundations. That's not a warning — it's a structural shift.
The tooling that developers rely on every day is undergoing a fundamental rethink. AI-assisted coding is only part of the story—the bigger shift is about what developers spend their time on.
Antitrust scrutiny, data protection rules, and AI governance frameworks are converging. For large technology firms, the era of building first and sorting out the rules later is winding down.
After several years of over-investment and rapid expansion, the startup landscape is recalibrating. Capital is more selective, founders are more deliberate, and the bar for growth has shifted.
Attackers are leveraging AI to move faster, target more precisely, and exploit vulnerabilities at a scale that's difficult for human-led security teams to match. The industry knows it and is responding.
Three years after the forced experiment of remote work began, the tech industry has settled into something messier and more interesting than either "back to office" advocates or remote-work champions predicted.
Editor in Chief
Marcus has spent over a decade covering technology and its social implications. Before Cutler Tech, he wrote for technology desks at national publications in Toronto and Vancouver.
Senior Writer — Startups
Priya covers early-stage companies and venture capital with a focus on how funding dynamics affect product decisions. She is based in Waterloo, Ontario.
Analyst — Cybersecurity
Daniel spent eight years in enterprise security consulting before transitioning to journalism. He brings technical depth to coverage of threats, policy, and industry response.
Staff Writer — Culture & Work
Natalie writes about the intersection of technology and how people actually experience it at work and in daily life. She brings a sociological lens to digital-native topics.
I read a lot of tech publications and Cutler Tech is one of the few that doesn't feel like it's written to get clicks. The AI coverage in particular is measured and clear without dumbing things down.
The startup coverage here is realistic. No breathless hyperbole about companies "disrupting" everything. Just clear analysis of what's actually happening in the ecosystem and why it matters.
The regulatory and cybersecurity pieces are particularly good. Daniel Forsythe writes with genuine technical authority. I share his articles regularly with my team.
Looking at how disclosure norms vary across leading AI labs and what that signals about accountability culture in the industry.
